液晶与显示, 2012, 27 (2): 263, 网络出版: 2012-05-08   

基于仿射变换的快速全局运动估计算法

Fast Global Motion Estimation Algorithm Based on Affine Transformation
作者单位
1 中国科学院 长春光学精密机械与物理研究所,吉林 长春130033
2 中国科学院 研究生院, 北京100039
摘要
全局运动估计是计算机视觉、视频处理等领域广泛采用的手段之一。为了降低全局运动估计计算复杂度,提出一种基于像素梯度的全局运动估计方法。就运动模型而言,采用了复杂性与准确性较好均衡的六参数仿射模型。为了提高计算速度,采用了两层金字塔进行多分辨率计算,而且在每层迭代计算中都抽取梯度较大的特征点进行计算,同时结合了高斯-牛顿优化计算方法。实验验证了提出的全局运动估计算法的计算效率和精度。
Abstract
Global Motion Estimation is an important tool widely used in computer vision, video processing, and other fields. To reduce the computational complexity of global motion estimation, a global motion estimation method based on the pixel gradient strategy was proposed. With regard to global motion models, six-parameter affine model is adopted because of its reasonable tradeoff between complexity and accuracy. In order to accelerate the algorithm, two-level pyramid is utilized in the calculation. It uses those gradient bigger pixels in the calculation of every pyramid level, and combines Gauss-Newton algorithm. The extensive experiments show that the proposed method is efficient and robust in terms of both computational complexity and accuracy.
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王思珺, 赵建, 韩希珍. 基于仿射变换的快速全局运动估计算法[J]. 液晶与显示, 2012, 27(2): 263. WANG Si-jun, ZHAO Jian, HAN Xi-zhen. Fast Global Motion Estimation Algorithm Based on Affine Transformation[J]. Chinese Journal of Liquid Crystals and Displays, 2012, 27(2): 263.

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